compromise programming model in site selection for construction temporary facilities

Abstract

One of the important project resources that have been overlooked during the planning phases of most construction projects is site selection of temporary facilities. In some projects, site selection can be as crucial as any other construction resource. Researchers have attempted to put together models that perform or assist planners in site selection. The aim of this paper is to present a framework for utilizing compromise programming (CP) for site selection of Construction Temporary Facilities (CTF) Compromise programming is used as a comprehensive tool that enables comparison between CTF alternatives. The CTF to be located concerns a site selection study conducted to evaluate locations for an onsite concrete batch plant to support the construction of the proposed facilities at the Savannah River Site. A comparison between the proposed model and Analytical Hierarchy Programming (AHP) models recently appeared in the literature is presented. As a construction management tool the proposed methodology describes better the trade-off between engineering performance (engineering, geoscience) and environmental performance (ecology, human health). However, the decision-making is project specific and relies on technical characteristics effectively limited the CTF site selection process criteria and the relative importance (weights) of the different factors involved.

Utilizing Site Characteristics in Neural Network Modelling of Percentage Cost-Time Overrun of Building Projects

“…The locational characteristics of sites are very vital to the planning and construction of a facility [14,15]. Site topography is critical in evaluating storm water quality and discharge, as well as quantities of soil cut and fill [16,17]. Other important characteristics are ground water level, bearing capacity of soil, size of the site, access to the site, land use compatibility, level of available infrastructure, proximity of material/labour and confined nature of site [3], while Amusan [8] and Memon et al [7] noted that the location of a building, unforeseen ground condition of the site and soil certainly contribute a lot to the cost of building.…”